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Studies in urban informatics: tools and techniques to explore socio-ecological urban systems
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Johnson, Nicholas E. (2018) Studies in urban informatics: tools and techniques to explore socio-ecological urban systems. PhD thesis, University of Warwick.
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WRAP_Theses_Johnson_2018.pdf - Submitted Version - Requires a PDF viewer. Download (10Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3453949~S15
Abstract
This work details the emerging discipline of urban informatics and the diverse set of tools, data and techniques necessary for the quantitative analysis of urban systems. Three studies are presented based on distinct data types including administrative data, user-generated data and sensor data. The first study focuses on urban waste management and demonstrates how existing administrative datasets can be used to forecast waste generation, which can be useful for optimizing waste collection efforts and developing future waste reduction strategies. The second study shifts from administrative data to focus on the benefits of public participation and the challenges of working with user-generated data. The final study presents a multi-week calibration campaign to evaluate calibration techniques and the quality of data generated by a low-cost air quality monitoring platform in order to increase the spatial resolution of PM2.5 measurements in an urban environment. The results from and evaluation of these studies highlight the potential for these urban data streams to provide new in-sight into socio-ecological urban systems, and create new opportunities for local governments to operate in a more effective, efficient and sustainable way.
Item Type: | Thesis (PhD) | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HT Communities. Classes. Races Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TD Environmental technology. Sanitary engineering |
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Library of Congress Subject Headings (LCSH): | Cities and towns -- Data processing, Sociology, Urban -- Data processing, Refuse and refuse disposal, Big data, Waste minimization | ||||
Official Date: | December 2018 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Jarvis, Stephen ; Kontakosta, Constantine | ||||
Format of File: | |||||
Extent: | xvii, 114 leaves : illustrations, charts, maps | ||||
Language: | eng |
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